Malware Data Science

"For those looking to become a security data scientist, or just wanting to get a comprehensive understanding of how to use data science to deal with malicious software, Malware Data Science: Attack Detection and Attribution is a superb reference to help you get there."—Ben Rothke, RSA Conference

Security has become a "big data" problem. The growth rate of malware has accelerated to tens of millions of new files per year while our networks generate an ever-larger flood of security-relevant data each day. In order to defend against these advanced attacks, you'll need to know how to think like a data scientist.

In Malware Data Science, security data scientist Joshua Saxe introduces machine learning, statistics, social network analysis, and data visualization, and shows you how to apply these methods to malware detection and analysis.

You'll learn how to:

Analyze malware using static analysis

Observe malware behavior using dynamic analysis

Identify adversary groups through shared code analysis

Catch 0-day vulnerabilities by building your own machine learning detector

Whether you're a malware analyst looking to add skills to your existing arsenal, or a data scientist interested in attack detection and threat intelligence, Malware Data Science will help you stay ahead of the curve.

Author Bio

Joshua Saxe is Chief Data Scientist at major security vendor, Sophos, where he leads a security data science research team. He's also a principal inventor of Sophos' neural network-based malware detector, which defends tens of millions of Sophos customers from malware infections. Before joining Sophos, Joshua spent 5 years leading DARPA funded security data research projects for the US government.

Hillary Sanders leads the infrastructure data science team at Sophos, which develops the frameworks used to build Sophos' deep learning models. Before joining Sophos, Hillary created a recipe web app and spent three years as a data scientist at Premise Data Corporation.

"For those looking to become a security data scientist, or just wanting to get a comprehensive understanding of how to use data science to deal with malicious software, Malware Data Science: Attack Detection and Attribution is a superb reference to help you get there."—Ben Rothke, RSA Conference

“This is a book every information security professional should consider reading due to the rapid growth and variation of malware and the increasing reliance upon data science to defend information systems.”
—The Ethical Hacker